¥¡¼¥ï¡¼¥É:Rhizosphere Microbiome ¤Î¸¡º÷·ë²Ì / 1 1 - 2 / 2 <<< 1 >>> / 1 1 - 2 / 2 <<< 1 >>> 2F3pm03 2026/03/10 13:48 F3 ¥È¥¦¥â¥í¥³¥·¤ª¤è¤Ó¥À¥¤¥ºº¬·÷¤Ø¤Î¥¢¥Ô¥²¥Ë¥ó½èÍý¤¬º¬·÷ÈùÀ¸ÊªÁÑ·ÁÀ®¤ËÍ¿¤¨¤ë±Æ¶Á¤Î²òÀÏ Analysis of the effect of apigenin treatment to maize and soybean rhizosphere on the formation of bacterial community ¡û»³ËÜ ÍÚÀ²1¡¢¾¾Â¼ ¹»ÖϺ1¡¢üâúó ¾°Ê¸2¡¢¿ù»³ ¶Ç»Ë1 ¡ûHaruki YAMAMOTO1, Koshiro MATSUMURA1, Hisabumi TAKASE2, Akifumi SUGIYAMA1 1µþÂ硦À¸Â¸¸¦¡¢2µþÅÔÀèü²Ê³ØÂ硦¥Ð¥¤¥ª´Ä¶ 1RISH, Kyoto Univ., 2Fac. Bioenviron. Sci. Kyoto Univ. Adv. Sci. 4F3am14 2026/03/12 11:48 F3 µ¡³£³Ø½¬¥â¥Ç¥ê¥ó¥°¤òÍѤ¤¤¿¿¢ÊªÀ¸°é¤òÂ¥¿Ê¤¹¤ëº¬·÷ÈùÀ¸ÊªÁѤÎÀß·× Machine learning-driven design of rhizosphere microbiota to enhance plant growth and heat resilience ¡ûÀÄÌÚ Íµ°ì1,2¡¢»³ùõ ¿¿°ì3¡¢Ãæ°Â Âç4¡¢¶â°æ ·Ã»Ò4¡¢¿åÌî Τ¹¾4¡¢³¤ÅÄ ¤ë¤ß5¡¢ÁýÅÄ ¹¬»Ò3¡¢¼ÆÅÄ ¤¢¤ê¤µ3¡¢Çò¿Ü ¸3¡¢±ÊÌî Æ×6,7¡¢Æ£°æ µÁÀ²5¡¢¿ù»³ ¶Ç»Ë4 ¡ûYuichi AOKI1,2, Shinichi YAMAZAKI3, Masaru NAKAYASU4, Keiko KANAI4, Rie MIZUNO4, Rumi KAIDA5, Sachiko MASUDA3, Arisa SHIBATA3, Ken SHIRASU3, Atsushi NAGANO6,7, Yoshiharu FUJII5, Akifumi SUGIYAMA4 1ÅìËÌÂç ToMMo¡¢2ÅìËÌÂ籡¾ðÊó¡¢3Íý¸¦ ´Ä¶»ñ¸»²Ê³Ø¸¦µæ¥»¥ó¥¿¡¼¡¢4µþÂç À¸Â¸·÷¸¦µæ½ê¡¢5ÅìµþÇÀ¹©Âç³Ø¡¢6̾¸Å²°Âç À¸Êªµ¡Ç½³«È¯ÍøÍѸ¦µæ¥»¥ó¥¿¡¼¡¢7·ÄØæµÁ½Î ÂçÀèüÀ¸Ì¿²Ê³Ø¸¦µæ½ê 1ToMMo, Tohoku Univ., 2GSIS, Tohoku Univ., 3RIKEN CSRS, 4RISH, Kyoto Univ., 5Tokyo University of Agriculture and Technology, 6BBC, Nagoya Univ., 7IAB, Keio Univ. / 1 1 - 2 / 2 <<< 1 >>> / 1 1 - 2 / 2 <<< 1 >>>